Journal of Intelligent Systems with Applications最新文献

{"title":"Frequency Recognition from Temporal and Frequency Depth of the Brain-Computer Interface based on Steady-State Visual Evoked Potentials","authors":"Ebru Sayilgan, Yilmaz Kemal Yuce, Y. Isler","doi":"10.54856/jiswa.202105160","DOIUrl":"https://doi.org/10.54856/jiswa.202105160","url":null,"abstract":"Brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEP) have been acceleratingly used in different application areas from entertainment to rehabilitation, like clinical neuroscience, cognitive, and use of engineering researches. Of various electroencephalography paradigms, SSVEP-based BCI systems enable apoplectic people to communicate with outside world easily, due to their simple system structure, short or no training time, high temporal resolution, high information transfer rate, and affordable by comparing to other methods. SSVEP-based BCIs use multiple visual stimuli flickering at different frequencies to generate distinct commands. In this paper, we compared the classifier performances of combinations of binary commands flickering at seven different frequencies to determine which frequency pair gives the highest performance using temporal and spectral methods. For SSVEP frequency recognition, in total 25 temporal change characteristics of the signals and 15 frequency-based feature vectors extracted from the SSVEP signal. These feature vectors were applied to the input of seven well-known machine learning algorithms (Decision Tree, Discriminant Analysis, Logistic Regression, Naive Bayes, Support Vector Machines, Nearest Neighbour, and Ensemble Learning). In conclusion, we achieved 100% accuracy in 7.5 - 10 frequency pairs among these 2,520 distinct runs and we found that the most successful classifier is the Ensemble Learning classifier. The combination of these methods leads to an appropriate detailed and comparative analysis that represents the robustness and effectiveness of classical approaches.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Portable Multicolor LED-Based Optical System for the Photobiomodulation Therapy on Wound Healing Process","authors":"N. Topaloglu, Ufuk Balkaya, Ziyşan Buse Yaralı Çevik","doi":"10.21203/RS.3.RS-354873/V2","DOIUrl":"https://doi.org/10.21203/RS.3.RS-354873/V2","url":null,"abstract":"\u0000 Photobiomodulation is a practical and non-invasive treatment that triggers cell proliferation, cell differentiation, wound healing, new tissue formation, inflammation and pain reduction with low-level light therapy. Light-emitting diodes (LEDs) are energy-saving, affordable and safe alternatives to laser devices which are recently preferred in photobiomodulation. Although the wavelengths between 600-700 nm are most preferred ones, there is a lack of practical optical systems which study this mechanism in vitro with different wavelengths simultaneously. In this study, a portable and remotely controlled multicolor LED-based system was designed and tested on the wound healing process of human keratinocytes by irradiating the cells homogenously with 3 different wavelengths (460-475 nm as blue, 515-535 nm as green, and 585-595 nm as orange) on different experimental groups at the same time. Its proliferative and wound healing effect was evaluated with cell viability (MTT) analysis and cell migration (scratch) assay, respectively. It was observed that orange-LEDs were designated as the most triggering wavelength in terms of cell proliferation. Also, it was revealed with this device that different wavelengths can reach the intended accelerated wound healing process, so this optical system will be an advantageous design for future practical photobiomodulation studies in vitro.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121407924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary Study of a Surgical Navigation with Point Based Registration Method","authors":"Tuğrul Uslu, L. Çetin, E. Gezgin","doi":"10.54856/jiswa.202105140","DOIUrl":"https://doi.org/10.54856/jiswa.202105140","url":null,"abstract":"By the help of technological advances such as the development of computer and imaging technologies, surgical navigation has started to be used rapidly in medical literature. It is one of the recent methods used to track surgical tools inside the operation volume. In light of vital advantages as operation safety, minimally invasive application compatibility, reduction of operation times and reduced post operation complication risks, surgical navigation has been rapidly adopted throughout the relevant fields. Considering these, this study both tries to apply an introduced analytical method to one of the most important steps of surgical navigation as registration and compares the results within the scope of application compatibility. Throughout the study, a solid model with known dimensions was placed inside a capture volume in which the motion cameras are able to provide position measurements. Carrying out point based registration method by taking necessary measurements, relation between the model reference and measurement space reference was calculated by means of a transformation matrix. Using acquired relationship, measured landmark positions of the model were compared with the structurally known real landmark positions. At the end of the study results were given and the applicability of the introduced analytical solution method in point based registration is discussed.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128034010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing an Educational Mobile Game to Provide Diabetes-Awareness Among Children","authors":"M. B. Selek, Ugur Adnan Ciftciogullari, Yilmaz Kemal Yuce, Y. Isler","doi":"10.54856/jiswa.202105143","DOIUrl":"https://doi.org/10.54856/jiswa.202105143","url":null,"abstract":"Diabetes is a serious life-long disease caused by the insufficient production of insulin hormones in the human body or the inefficient use of the insulin hormone in the human body. Diabetes is becoming more common day by day and it is a very important disease. Even so, people do not take diabetes seriously because they do not have enough information about diabetes. Also, most people cannot realize they have diabetes. For this reason, most of the studies in the literature have focused only on the diagnosis of diabetes. Diabetes treatment is an extremely costly process. In the treatment of diabetes, it is primarily aimed to raise the awareness of the patients' relatives and the patient. Training studies are carried out to raise the awareness of patient relatives and the patient. This training, which is given to raise awareness of patients and their relatives, is the most important and indispensable step of the diabetes treatment process. So, this education will achieve its goal more easily and quickly. In the prepared game, there will be information about diabetes prevention methods and diabetes disease. In case of doing factors that may cause diabetes in the game, the symptoms of the disease will be shown to the player. With the help of award-winning quizzes and short information in the game, a fun learning process is aimed for children. The longterm goals of the study are to raise awareness among nonpatients and reduce the frequency of occurrence of diabetes disease with the help of created awareness.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual Reality Applications in Nursing","authors":"Gizem Arslan, Y. Tokem, Y. Isler","doi":"10.54856/jiswa.202012132","DOIUrl":"https://doi.org/10.54856/jiswa.202012132","url":null,"abstract":"The progress in technological and scientific fields in the 20th century has transformed and shaped the lives of people remarkably. In healthcare, technology can be described as the application of the methods, systems, medicines, devices, vaccines and organized information to improve the quality of life by providing solutions for the needs of both professionals and patients. Besides its potential of reducing fragmentation and costs while increasing the safety, utilization of technology can be considered as the key to achieving a safe, sustainable, and person-centered healthcare environment. Virtual Reality (VR) is a computer-generated three-dimensional interactive environment that stimulates multiple sensory methods. Considering the fact that VR is one of the crucial technological trends of this century, it has the potential of affecting the health industry until 2025 extremely. It is a real-time graphic simulation that includes visual, auditory, and tactile experiences. In the field of health, VR is used for multiple purposes as training of medical students for critical surgeries, education of nursing candidates, and treatment of some diseases. As essential members of the healthcare team, nurses should be a strict follower of the rapidly evolving technology to provide efficient and quality care. The utilization of VR in nursing education has the advantage of decreasing faulty interventions, which enhances patient safety as well as the quality of the healthcare services in the future.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132521739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electromagnetic Weaponed Air Robot","authors":"M. Demi̇r","doi":"10.54856/jiswa.202012127","DOIUrl":"https://doi.org/10.54856/jiswa.202012127","url":null,"abstract":"This article proposes the integration of mini electromagnetic weapons into an air robot, autonomous targeting of possible targets with an electromagnetic weapon, and features that an electromagnetic armed aircraft robot should have. Unlike traditional user-controlled aerial robot approaches, it targets autonomous movements in the mission area with image processing techniques, so the robot can detect targets and accurately target targets without the need for user control. An autonomous targeting mechanism has been developed with an electromagnetic weapon integrated into the air robot to create a reference route. Various methods are proposed considering the range limitation of electromagnetic weapons and possible targeting errors of the robot user. For target tracking, a control algorithm has been developed to have the most appropriate targeting under the dynamic constraints of the robot and the user. Prototyping and experiments demonstrate the ability of an autonomous electromagnetic armed air robot with autonomous targeting system to address user and targeting problems.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131119216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classifying stable and unstable videos with deep convolutional networks","authors":"Mehmet Sarigul, Levent Karacan","doi":"10.54856/jiswa.202012125","DOIUrl":"https://doi.org/10.54856/jiswa.202012125","url":null,"abstract":"Since the invention of cameras, video shooting has become a passion for human. However, the quality of videos recorded with devices such as handheld cameras, head cameras, and vehicle cameras may be low due to shaking, jittering and unwanted periodic movements. Although the issue of video stabilization has been studied for decades, there is no consensus on how to measure the performance of a video stabilization method. In many studies in the literature, different metrics have been used for comparison of different methods. In this study, deep convolutional neural networks are used as a decision maker for video stabilization. VGG networks with different number of layers are used to determine the stability status of the videos. It was observed that VGG networks showed a classification performance up to 96.537% using only two consecutive scenes. These results show that deep learning networks can be utilized as a metric for video stabilization.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132740482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of ECG and SCG Signals Using Predefined Signature and Envelope Sets","authors":"Emir Hardal, Inci Zaim Gokbay","doi":"10.54856/jiswa.202012123","DOIUrl":"https://doi.org/10.54856/jiswa.202012123","url":null,"abstract":"Seismocardiogram (SCG) is a low-cost monitoring method to collect precordial vibrations of sternum due to heartbeats and evaluate cardiac activity. It is mostly used as an auxiliary measurement to the other monitoring methods; however, it carries significant patterns reflecting current cardiovascular health status of subjects. If it is properly collected within a non-clinical environment, it might be able to present preliminary data to physicians before clinic. SCG signals are morphologically noisy. These signals store excessive amount of data. Extracting significant information corresponding to heartbeat complexes is so important. Previously, the method called compressed sensing (CS) had been applied to weed up the redundant information by taking the advantage of sparsity feature in a study. This compressed sensing is based on storing significant signals below the Nyquist rate which suffice for medical diagnosis. It has been feasible to compress SCG signals with 3:1 compression rate at least while maintaining accurate signal reconstruction. Nevertheless, higher compression rates lead to the formation of artifacts on reconstructed signals. This limits a more aggressive compression to reduce the amount of data. The requirement of a different approach which will allow higher compression rates and lower loss of information arises. The purpose of this study is to obtain more competent results by using a method called predefined signature and envelope vector sets (PSEVS) which has been satisfyingly applied to electrocardiogram (ECG) and speech signals. In the study, simultaneously recorded ECG and SCG signals were modeled with the method called PSEVS. The reconstructed signals were compared to the original signals so as to investigate the efficacy of signature-based modeling methods in constructing medically remarkable biosignals for clinical use. After examining the components of reconstructed signals called frame-scaling coefficient, signature and envelope vectors, it has been seen that the error function values of envelope vectors differ from expected values. We concluded that reconstructed SCG signals were not adequate for medical diagnosis.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124915539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"User Localization in an Indoor Environment by Combining Different Algorithms through Plurality Rule","authors":"Muzaffer Cem Ates, Osman Emre Gumusoglu, Aslinur Colak, Nilgun Fescioglu Unver","doi":"10.54856/jiswa.202012118","DOIUrl":"https://doi.org/10.54856/jiswa.202012118","url":null,"abstract":"User localization in an indoor environment has a wide application area including production and service systems such as factories, smart homes, hospitals, nursing homes, etc. User localization based on Wi-Fi signals has been widely studied using various classification algorithms. In this type of problem, several Wi-Fi routers placed in an indoor environment provide signals with different strengths depending on the location/room of the user. Most classification algorithms successfully make the localization with a high accuracy rate. However, in the current literature, there is no widely accepted 'best' algorithm for solving this problem. This study proposes the use of the plurality rule to combine several classification algorithms and obtain a single result. Plurality voting rule is an electoral system where the candidate that polls the most vote wins the election. We apply the plurality rule to the indoor localization problem and generate the Majority algorithm. The Majority algorithm takes the 'votes' of five different classification algorithms and provides a single result through plurality rule. Results show that the mean accuracy rate of the Majority algorithm is higher than the classification algorithms it combines. In addition, we show that proving a single accuracy rate is not sufficient for declaring that an algorithm is better than the other. Classification algorithms select the training and test data randomly and different divisions result in different accuracy rates. In this study, we show that comparing the classification algorithms through confidence intervals provides more accurate information.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the Difference Between Image Size, Background Color, Gray Picture and Color Picture in Leave Classification with Deep Learning","authors":"Yunus Camgozlu, Y. Kutlu","doi":"10.54856/jiswa.202012133","DOIUrl":"https://doi.org/10.54856/jiswa.202012133","url":null,"abstract":"In academic studies, there are many factors that change depending on the changes in the parameters of the process, such as the processing time, the required processing power, as well as the success. In the methods used for classification, recognition, and detection, the changes in the data received as input may affect the result, as well as the variables specific to the methods used. Convolutional neural networks, whose use is increasing day by day in processes such as classification and recognition using images, learn and classify the characteristics of data sets in different image sizes, including color, gray or black and white images, with filters and functions on the layers in the model. Many different parameters such as layers in the created model and filters and functions in these layers can be changed. As a result of these changes, the most suitable number of layers, the optimum values for the parameters and functions in these layers are determined for the data set used. There are studies focused on optimizing many different structures, such as reproducing the images in the used data set or determining the best by testing different parameters in the classification method. In this study, while the changes were made in the leaf images with a fixed background in the determined leaf data set, the model used in leaf classification with convolutional neural network was kept constant. It is aimed to examine the pictures used for 3 different image sizes, the gray picture or color picture difference and the changes caused by the background color.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129747987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}